Salesforce Data Cloud Technical Architect
NeuraFlash, Part of Accenture
| Company | NeuraFlash, Part of Accenture |
| Category | Sales |
| Location | Remote - Colombia |
| Remote | Remote |
| Employment | Not stated |
| Level | Lead |
| Salary | Not stated by the employer |
| Posted | 3 Jun 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
Why NeuraFlash, Part of Accenture:
At NeuraFlash, Part of Accenture, we are redefining the future of business through the power of AI and groundbreaking technologies like Agentforce. As a trusted leader in AI, AWS, and Salesforce innovation, we craft intelligent solutions—integrating Salesforce Einstein, Service Cloud Voice, Amazon Connect, Agentforce and more—to revolutionize workflows, elevate customer experiences, and deliver tangible results. From conversational AI to predictive analytics, we empower organizations to stay ahead in an ever-evolving digital landscape with cutting-edge, tailored strategies.
We are proud to be creating the future of generative AI and AI agents. Salesforce has launched Agentforce, and NeuraFlash, Part of Accenture, was selected as the only partner for the private beta prior to launch. Post-launch, we’ve earned the distinction of being Salesforce’s #1 partner for Agentforce, reinforcing our role as pioneers in this transformative space.
Be part of the NeuraFlash, Part of Accenture journey and help shape the next wave of AI-powered transformation. Here, you’ll collaborate with trailblazing experts who are passionate about pushing boundaries and leveraging technologies like Agentforce to create impactful customer outcomes. Whether you're developing advanced AI-powered bots, streamlining business operations, or building solutions using the latest generative AI technologies, your work will drive innovation at scale. If you’re ready to make your mark in the AI space, NeuraFlash, Part of Accenture is the place for you. AS A DATA CLOUD SOLUTION ARCHITECT, YOU WILL HAVE THE OPPORTUNITY TO:
Lead discovery & architecture of customer data strategies, ensuring alignment between business goals, data models, and AI-driven use cases
Assess existing data ecosystems, including legacy data warehouses, cloud platforms, and integrations, to define the optimal Data Cloud architecture and migration strategy
Design scalable and secure data architectures on Salesforce Data Cloud—defining DLOs, DMOs, identity resolution strategies, and real-time data activation patterns
Develop enterprise-level solution blueprints, integration frameworks, and reference architectures that align with Salesforce and NeuraFlash best practices
Collaborate cross-functionally with data engineers, architects, product managers, and Salesforce technical teams to ensure seamless delivery
Serve as a trusted advisor to both customers and Salesforce teams—demonstrating how Data Cloud unlocks value across Service, Marketing, and AgentForce use cases
Architect and oversee integrations between Salesforce Data Cloud, MuleSoft, Snowflake, and other enterprise systems using real-time and batch patterns
Own pre-sales architecture in partnership with account executives—build solution demos, estimates, and presentations that articulate the business value of Data Cloud
Evangelize the Salesforce Data Cloud vision, including modern data activation, zero-copy architecture, and industry-specific applications
Explore and implement emerging AI capabilities, including GPT & LLM-driven use cases powered by unified customer data
QUALIFICATIONS:
8+ years of overall experience in technology consulting, data strategy, or enterprise architecture
3+ years hands-on experience in Salesforce ecosystems with deep understanding of Data Cloud, including DLO/DMO design, ingestion, and activation
Proven track record leading end-to-end data architecture and implementation—from discovery and design through deployment and enablement
Experience with modern data platforms such as Snowflake, Databricks, BigQuery, or Redshift
Strong understanding of data modeling, identity resolution, governance, and segmentation
Understanding of MuleSoft, API design, and integration patterns
Familiarity with data visualization and analytics tools (Tableau, Looker, Power BI)
Proficiency in Python, SQL, or data frameworks
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